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TRAINSET is a graphical tool for labeling time series data. Labeling is typically used to record interesting points in time series data. For example, if you had temperature data from a sensor mounted to a stove, you could label points that constitute cooking events. Labels could be used as-is or as a training set for machine learning algorithms. For example, TRAINSET could be used to build a training set for an algorithm that detects cooking events in temperature time series data.

You don't get what you expect, you get what you inspect.